On the Problem of Predicting Real World Characteristics from Virtual Worlds

Muhammad Aurangzeb Ahmad, Cuihua Shen, Jaideep Srivastava, Noshir Contractor

Research output: Chapter in Book/Report/Conference proceedingChapter

3 Citations (Scopus)

Abstract

Availability of massive amounts of data about the social and behavioral characteristics of a large subset of the population opens up new possibilities that allow researchers to not only observe people’s behaviors in a natural, rather than artificial, environment but also conduct predictive modeling of those behaviors and characteristics. Thus an emerging area of study is the prediction of real world characteristics and behaviors of people in the offline or “real” world based on their behaviors in the online virtual worlds. We explore the challenges and opportunities in the emerging field of prediction of real world characteristics based on people’s virtual world characteristics, i.e., what are the major paradigms in this field, what are the limitations in current predictive models, limitations in terms of generalizability, etc. Lastly, we also address the future challenges and avenues of research in this area.

Original languageEnglish
Title of host publicationSpringer Proceedings in Complexity
PublisherSpringer
Pages1-18
Number of pages18
VolumePart F3
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes

    Fingerprint

Keywords

  • Behavioral prediction
  • Computational social science
  • Massive online games
  • Virtual worlds

ASJC Scopus subject areas

  • Applied Mathematics
  • Modelling and Simulation
  • Computer Science Applications

Cite this

Ahmad, M. A., Shen, C., Srivastava, J., & Contractor, N. (2014). On the Problem of Predicting Real World Characteristics from Virtual Worlds. In Springer Proceedings in Complexity (Vol. Part F3, pp. 1-18). Springer. https://doi.org/10.1007/978-3-319-07142-8_1